5LO6

HSP90 WITH indazole derivative


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.40 Å
  • R-Value Free: 0.217 
  • R-Value Work: 0.192 
  • R-Value Observed: 0.193 

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Ligand Structure Quality Assessment 


This is version 1.1 of the entry. See complete history


Literature

Estimation of Drug-Target Residence Times by tau-Random Acceleration Molecular Dynamics Simulations.

Kokh, D.B.Amaral, M.Bomke, J.Gradler, U.Musil, D.Buchstaller, H.P.Dreyer, M.K.Frech, M.Lowinski, M.Vallee, F.Bianciotto, M.Rak, A.Wade, R.C.

(2018) J Chem Theory Comput 14: 3859-3869

  • DOI: 10.1021/acs.jctc.8b00230
  • Primary Citation of Related Structures:  
    5LO5, 5LO6, 6EI5, 6EL5, 6ELN, 6ELO, 6ELP, 6EY8, 6EY9, 6EYA, 6EYB, 6F1N

  • PubMed Abstract: 
  • Drug-target residence time (τ), one of the main determinants of drug efficacy, remains highly challenging to predict computationally and, therefore, is usually not considered in the early stages of drug design. Here, we present an efficient computational method, τ-random acceleration molecular dynamics (τRAMD), for the ranking of drug candidates by their residence time and obtaining insights into ligand-target dissociation mechanisms ...

    Drug-target residence time (τ), one of the main determinants of drug efficacy, remains highly challenging to predict computationally and, therefore, is usually not considered in the early stages of drug design. Here, we present an efficient computational method, τ-random acceleration molecular dynamics (τRAMD), for the ranking of drug candidates by their residence time and obtaining insights into ligand-target dissociation mechanisms. We assessed τRAMD on a data set of 70 diverse drug-like ligands of the N-terminal domain of HSP90α, a pharmaceutically important target with a highly flexible binding site, obtaining computed relative residence times with an accuracy of about 2.3τ for 78% of the compounds and less than 2.0τ within congeneric series. Analysis of dissociation trajectories reveals features that affect ligand unbinding rates, including transient polar interactions and steric hindrance. These results suggest that τRAMD will be widely applicable as a computationally efficient aid to improving drug residence times during lead optimization.


    Organizational Affiliation

    Interdisciplinary Center for Scientific Computing (IWR) , Heidelberg University , Heidelberg 69120 , Germany.



Macromolecules
Find similar proteins by:  (by identity cutoff)  |  Structure
Entity ID: 1
MoleculeChainsSequence LengthOrganismDetailsImage
Heat shock protein HSP 90-alphaA229Homo sapiensMutation(s): 0 
Gene Names: HSP90AA1HSP90AHSPC1HSPCA
UniProt & NIH Common Fund Data Resources
Find proteins for P07900 (Homo sapiens)
Explore P07900 
Go to UniProtKB:  P07900
PHAROS:  P07900
Protein Feature View
Expand
  • Reference Sequence
Small Molecules
Ligands 1 Unique
IDChainsName / Formula / InChI Key2D Diagram3D Interactions
70O (Subject of Investigation/LOI)
Query on 70O

Download Ideal Coordinates CCD File 
B [auth A]3-(3,3-dimethylbutyl)-~{N}-methyl-~{N}-[4-(1-methylpiperidin-4-yl)phenyl]-6-oxidanyl-2~{H}-indazole-5-carboxamide
C27 H36 N4 O2
OSCVANVSCOABQQ-UHFFFAOYSA-N
 Ligand Interaction
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.40 Å
  • R-Value Free: 0.217 
  • R-Value Work: 0.192 
  • R-Value Observed: 0.193 
  • Space Group: I 2 2 2
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 67.76α = 90
b = 91.21β = 90
c = 99.27γ = 90
Software Package:
Software NamePurpose
BUSTERrefinement
XDSdata reduction
XDSdata scaling
MOLREPphasing

Structure Validation

View Full Validation Report



Ligand Structure Quality Assessment  



Entry History 

Deposition Data

Revision History  (Full details and data files)

  • Version 1.0: 2017-11-29
    Type: Initial release
  • Version 1.1: 2019-01-23
    Changes: Data collection, Database references